Evidence map›Paper›PMID 39586870›Full record

ArticleThe AAPS journal2024

Recommendation for Clarifying FDA Policy in Evaluating "Sameness" of Higher Order Structure for Generic Peptide Therapeutics.

Jessica A Rogers-Crovak, Edward J Delaney, David J Detlefsen

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Article in The AAPS journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Jessica A Rogers-CrovakNovatia, LLC, 54 Walker Ln, Newtown, Pennsylvania, 18940, USA.ORCID 0009-0004-8393-3152
Edward J DelaneyNovatia, LLC, 54 Walker Ln, Newtown, Pennsylvania, 18940, USA.
David J DetlefsenNovatia, LLC, 54 Walker Ln, Newtown, Pennsylvania, 18940, USA. detlefsend@enovatia.com.ORCID 0009-0008-5668-8277

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recognizing the approach of a dramatic expansion of peptide therapeutics reaching the marketplace in recent years, led by GLP-1 receptor agonists such as semaglutide and liraglutide, the Center for Drug Evaluation and Research (CDER) branch of the US Food and Drug Administration (FDA) issued a final guidance in 2021 that was intended to assist generic drug producers in meeting Abbreviated New Drug Application (ANDA) obligations to establish "sameness" of their active peptide drug relative to that produced by innovator companies. Research and a published report by FDA scientists on best practices followed, which promulgated the use of nuclear magnetic resonance (NMR) and principal component analysis (PCA) and established a quantitative standard by which "sameness" of higher order structure for the applicant's peptide drug could be judged. A key requirement is that drug product samples be analyzed directly and non-invasively, a condition which in practice restricts sample modification to the addition of a small amount of deuterium oxide to allow signal lock and spectral data alignment (as required for NMR analysis). In the study described herein, data are presented to illustrate that 1) relatively small differences in sample pH can cause significant shifting of certain proton resonances, 2) that such resonance shifting is readily reversible and due to the degree of protonation of specific amino acid residues (rather than reflecting differences in higher order structure), and 3) that small differences in pH variability between sample cohorts can frequently cause failure to meet the quantitative benchmark established by the agency. Methodology is presented by which drug sample pHs can be aligned with minimal impact, and a recommendation is made that minor sample pH adjustments be allowed in assessing "sameness" of peptide drug higher order structure.

Indexed as

Drugs, GenericUnited States Food and Drug AdministrationDrug ApprovalHumansMagnetic Resonance SpectroscopyPeptidesPrincipal Component AnalysisTherapeutic EquivalencyUnited StatesDrugs, GenericPeptidesdrug productHOS samenessmahalanobis distanceNMRPCApeptidessimilarity

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.